Top Linux Jobs in San Diego, CA

The Software Engineer will collaborate with AI researchers to implement AI algorithms and develop scalable software for practical applications, ensuring efficiency and reliability in software systems.

The Senior APC Engineer leads projects in Advanced Process Control, develops training simulators, and coordinates with various stakeholders to enhance production processes.

Design, implement, and maintain DevSecOps solutions on Kubernetes and cloud platforms. Lead cloud migrations using IaC (Terraform, Helm, Ansible), harden containers to DoD standards, integrate CI/CD pipelines, manage cloud databases, troubleshoot integrations, and coordinate with cross-functional teams and government stakeholders.

Design, implement, and verify RTL (Verilog/SystemVerilog) for ultra-low-latency FPGA trading systems. Build simulation testbenches and verification environments, run synthesis/place-and-route/static timing analysis, support hardware bring-up and debugging, and collaborate with senior engineers to meet strict latency and timing requirements.

Design, build, and maintain Spring Boot-based connectors and microservices that integrate WES with vendor WCS. Collaborate in Agile/SAFe PI planning, implement scalable, resilient integrations, write testable code, troubleshoot performance and interoperability issues, and produce technical documentation alongside QA.

The ELN Administrator will support the ELN system, train users, perform data analysis, and ensure compliance with FDA regulations while leading system improvements.

The Principal Engineer will develop safety-critical software and test infrastructure for autonomous vehicle systems, ensuring high quality and scalability while collaborating with other teams.

The Senior Software Engineer will enhance patient experiences by developing modern software for doctor's offices, contributing to product features, and participating in client feedback.

The role involves building data processing pipelines, deploying cloud technologies, and writing code in a Kubernetes environment, focusing on big data technologies.

Lead the development of a platform for fast, high-quality deployments in universities, focusing on security, data engineering, and automation.